** Replication for "What Girls Do: The Effects of Exposure to Women Candidates on Adolescents' Attitudes Toward Women Leaders (Wolbrecht and Campbell) **


** Table 1 **

** use <FM2 DATA>

**Better off with more women **

set level 95
regress morewomen_t2_W2  novelwomen_all morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state [aweight= teenhybweight],cluster(CONGRESSIONAL_DISTRICT)

regress morewomen_t2_W2  novelwomen_all morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1


regress morewomen_t2_W2  novelwomen_all morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state [aweight= teenhybweight],cluster(CONGRESSIONAL_DISTRICT), if male_t==1


** Feminine traits **

regress femtraits_add1_t_std_W2 novelwomen_all femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT)

regress femtraits_add1_t_std_W2 novelwomen_all femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 

regress femtraits_add1_t_std_W2 novelwomen_all femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 


**Masculine traits **

regress masctraits_add1_t_std_W2 novelwomen_all masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT)


regress masctraits_add1_t_std_W2 novelwomen_all masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 

regress masctraits_add1_t_std_W2 novelwomen_all masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 



** Table 2 **

**Better off with more women **

set level 95
regress morewomen_t2_W2  novelwomen_all morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state [aweight= teenhybweight] ,cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==1
 
set level 85
margins, at(novelwomen_all=(0 1 2))
 
set level 95
regress morewomen_t2_W2  novelwomen_all morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state [aweight= teenhybweight] ,cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==1

set level 85
margins, at(novelwomen_all=(0 1 2))
 
set level 95
regress morewomen_t2_W2  novelwomen_all morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state [aweight= teenhybweight] ,cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==2

set level 85
margins, at(novelwomen_all=(0 1 2))
 
set level 95
regress morewomen_t2_W2  novelwomen_all morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state [aweight= teenhybweight] ,cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==2 


set level 85
margins, at(novelwomen_all=(0 1 2))
 
** Feminine traits **

set level 95
regress femtraits_add1_t_std_W2 novelwomen_all femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==1

set level 85
margins, at(novelwomen_all=(0 1 2))

set level 95
regress femtraits_add1_t_std_W2 novelwomen_all femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==1

set level 85
margins, at(novelwomen_all=(0 1 2))

set level 95
regress femtraits_add1_t_std_W2 novelwomen_all femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==2

set level 85
margins, at(novelwomen_all=(0 1 2))

set level 95
regress femtraits_add1_t_std_W2 novelwomen_all femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==2

 
set level 85
margins, at(novelwomen_all=(0 1 2))
 
** Masculine traits ** 
 
set level 95
regress masctraits_add1_t_std_W2 novelwomen_all masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==1

set level 85
margins, at(novelwomen_all=(0 1 2))

set level 95 
regress masctraits_add1_t_std_W2 novelwomen_all masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==1


set level 85
margins, at(novelwomen_all=(0 1 2))
 
set level 95
regress masctraits_add1_t_std_W2 novelwomen_all masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==2


set level 85
margins, at(novelwomen_all=(0 1 2))

set level 95
regress masctraits_add1_t_std_W2 novelwomen_all masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==2


 set level 85
margins, at(novelwomen_all=(0 1 2))
 
 
** Figure 3a **

set level 95
regress morewomen_t2_W2  novelwomen_rep morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom  college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD house_vote_rep  trumpvote20_state [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==1

set level 85
margins, at(novelwomen_rep=(0 1 2))
 
 
set level 95
regress morewomen_t2_W2  novelwomen_rep morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom  college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD house_vote_rep  trumpvote20_state [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==1

set level 85
margins, at(novelwomen_rep=(0 1 2))


set level 95
regress morewomen_t2_W2  novelwomen_dem morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom  college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD house_vote_rep  trumpvote20_state [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==2


set level 85
margins, at(novelwomen_dem=(0 1 2))


set level 95
regress morewomen_t2_W2  novelwomen_dem morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom  college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD house_vote_rep  trumpvote20_state [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==2

set level 85
margins, at(novelwomen_dem=(0 1 2))
 
**Figure 3b **

regress femtraits_add1_t_std_W2 novelwomen_rep femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==1

 
set level 85
margins, at(novelwomen_rep=(0 1 2)) 
 
 
regress femtraits_add1_t_std_W2 novelwomen_rep femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==1

set level 85
margins, at(novelwomen_rep=(0 1 2)) 
 

regress femtraits_add1_t_std_W2 novelwomen_dem femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==2


set level 85
margins, at(novelwomen_dem=(0 1 2)) 

  
regress femtraits_add1_t_std_W2 novelwomen_dem femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==2

 
set level 85
margins, at(novelwomen_dem=(0 1 2)) 


** Figure 3c ** 

regress masctraits_add1_t_std_W2 novelwomen_rep masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==1

set level 85
margins, at(novelwomen_rep=(0 1 2)) 
 
regress masctraits_add1_t_std_W2 novelwomen_rep masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==1

set level 85
margins, at(novelwomen_rep=(0 1 2)) 
 
regress masctraits_add1_t_std_W2 novelwomen_dem masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==2

set level 85
margins, at(novelwomen_dem=(0 1 2)) 

  
regress masctraits_add1_t_std_W2 novelwomen_dem masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==2
 
set level 85
margins, at(novelwomen_dem=(0 1 2)) 

** Figure 4 **

** feminine traits **


** use <FM2 DATA>

set level 95
regress femtraits_add1_t_std_W2 novelwomen_all femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==1

 
set level 85
margins, at(novelwomen_all=(0 1 2)) 

set level 95
regress femtraits_add1_p_std_W2  novelwomen_all femtraits_add1_p_std2 perc_allwomen_p  poltalk_parents_t workingmom educ_p hispanic_p black_p age_p   south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state   [aweight=parhybweight] if female_p==1 & pid2_p==1, cluster(CONGRESSIONAL_DISTRICT)


set level 85
margins, at(novelwomen_all=(0 1 2)) 


** use <CES DATA>

set level 95
regress femtraits_add2 novelwomen_all_new perc_allwomen_2pty revnewsint2 educ hispanic2 black age south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD   rep_vote_house  trumpvote20_state [aweight=teamweight], cluster(CD_string), if gender ==2 & pid_3cat1==3


set level 85
margins , at(novelwomen_all_new=(0 1 2))
 

 ** Better off with more women **

** use <FM2 DATA>

set level 95
regress morewomen_t2_W2  novelwomen_all morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state [aweight= teenhybweight] ,cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==1


set level 85
margins, at(novelwomen_all=(0 1 2)) 

set level 95
regress morewomen_p2_W2  novelwomen_all morewomen_p2 perc_allwomen_p  poltalk_parents_t workingmom educ_p hispanic_p black_p age_p   south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state   [aweight=parhybweight] if female_p==1 & pid2_p==1, cluster(CONGRESSIONAL_DISTRICT)


set level 85
margins, at(novelwomen_all=(0 1 2)) 

** use <CES DATA>

set level 95
regress morewomen2 novelwomen_all_new perc_allwomen_2pty revnewsint2 educ hispanic2 black age south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD   rep_vote_house  trumpvote20_state [aweight=teamweight], cluster(CD_string), if gender ==2 & pid_3cat1==3


set level 85
margins, at(novelwomen_all_new=(0 1 2)) 


** Masculine traits **

** use <FM2 DATA>

set level 95 
regress masctraits_add1_t_std_W2 novelwomen_all masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==1


set level 85
margins, at(novelwomen_all=(0 1 2))


set level 95
regress masctraits_add1_p_std_W2  novelwomen_all masctraits_add1_p_std2 perc_allwomen_p  poltalk_parents_t workingmom educ_p hispanic_p black_p age_p   south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state   [aweight=parhybweight] if female_p==1 & pid2_p==1, cluster(CONGRESSIONAL_DISTRICT)


set level 85
margins, at(novelwomen_all=(0 1 2))


** use <CES DATA>

set level 95
regress masctraits_add2 novelwomen_all_new perc_allwomen_2pty revnewsint2 educ hispanic2 black age south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD   rep_vote_house  trumpvote20_state [aweight=teamweight], cluster(CD_string), if gender ==2 & pid_3cat1==3


set level 85
margins, at(novelwomen_all_new=(0 1 2)) 



** winners (as shown in Supplementary Material) **

** use <FM2 DATA>

** novel winners **


set level 95
regress morewomen_t2_W2  novelwinners_all morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state [aweight= teenhybweight],cluster(CONGRESSIONAL_DISTRICT)

regress morewomen_t2_W2  novelwinners_all morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1


regress morewomen_t2_W2  novelwinners_all morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state [aweight= teenhybweight],cluster(CONGRESSIONAL_DISTRICT), if male_t==1


set level 95
regress morewomen_t2_W2  novelwinners_all morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state [aweight= teenhybweight] ,cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==1

set level 95
regress morewomen_t2_W2  novelwinners_all morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state [aweight= teenhybweight] ,cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==1
 

set level 95
regress morewomen_t2_W2  novelwinners_all morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state [aweight= teenhybweight] ,cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==2

 
set level 95
regress morewomen_t2_W2  novelwinners_all morewomen_t2 morewomen_p2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state [aweight= teenhybweight] ,cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==2 


** feminine traits **


regress femtraits_add1_t_std_W2 novelwinners_all femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT)

regress femtraits_add1_t_std_W2 novelwinners_all femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 

regress femtraits_add1_t_std_W2 novelwinners_all femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 

regress femtraits_add1_t_std_W2 novelwinners_all femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==1

regress femtraits_add1_t_std_W2 novelwinners_all femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==1

regress femtraits_add1_t_std_W2 novelwinners_all femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==2

regress femtraits_add1_t_std_W2 novelwinners_all femtraits_add1_t_std2  femtraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==2


** masculine traits **
regress masctraits_add1_t_std_W2 novelwinners_all masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT)

regress masctraits_add1_t_std_W2 novelwinners_all masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 

regress masctraits_add1_t_std_W2 novelwinners_all masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 

regress masctraits_add1_t_std_W2 novelwinners_all masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==1

regress masctraits_add1_t_std_W2 novelwinners_all masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==1

regress masctraits_add1_t_std_W2 novelwinners_all masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if male_t==1 & pid2_t==2

regress masctraits_add1_t_std_W2 novelwinners_all masctraits_add1_t_std2  masctraits_add1_p_std2 perc_allwomen_t  poltalk_parents_t workingmom college_t hispanic_t black_t age_t south_state size_CD popden_CD forborn_CD pop_black_CD pop_hispanic_CD median_hhinc_CD college_CD bluecollar_CD popunder18_CD    house_vote_rep  trumpvote20_state  [aweight= teenhybweight], cluster(CONGRESSIONAL_DISTRICT), if female_t==1 & pid2_t==2

